Tessl

AI Engineering Lead

Tessl

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

Python

About the role

  • Architect and own our AI pipelines — from multi-agent workflows and retrieval pipelines to automatic evaluation and feedback loops.
  • Design scalable context generation systems that synthesize documentation, styleguides, and steering artefacts to enhance agent performance.
  • Optimize retrieval pipelines to achieve the ideal balance of quality, latency, and cost.
  • Build internal tooling for evaluation, context engineering, and inference — the backbone of how we train and measure our agents.
  • Collaborate across teams (PM, UX, product engineering, and leadership) to ship high-impact features at startup speed.
  • Define and scale the team culture — recruiting top talent, mentoring others, and embedding the principles of AI-native engineering into everything we build.

Requirements

  • A degree (Masters/PhD preferred) in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
  • 10+ years of engineering experience, with 3+ years leading AI-focused teams.
  • Fluency in some of these areas: Python, Anthropic/OpenAI APIs, vector databases, and eval tooling.
  • Strong fundamentals in Machine Learning, Data Science and Evaluation Frameworks
  • Experience with agent orchestration, retrieval-augmented generation (RAG), and agentic workflows
  • Experience developing agentic workflows
  • Proven experience shipping AI-first products that bridge research and real-world application.
  • Comfort working across the stack or partnering closely with frontend/backend teams.
Benefits
  • 25 days holiday
  • health insurance, including dental and vision, which extends to partners and dependents
  • company-matched pension
  • commuting stipend for those who live outside London
  • cycle to work scheme
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonMachine LearningData ScienceEvaluation FrameworksAgent OrchestrationRetrieval-Augmented GenerationAgentic WorkflowsAI PipelinesContext Generation SystemsInternal Tooling
Soft Skills
LeadershipMentoringCollaborationTeam Culture DevelopmentRecruiting TalentCommunicationOrganizational SkillsProblem SolvingAdaptabilityHigh-Impact Feature Delivery